Previous studies have demonstrated that there is a high possibility that the presence of certain built environment characteristics can influence health outcomes, especially those related to obesity and physical activity. We examined the associations between select neighborhood built environment indicators (crosswalks, non-single family home buildings, single-lane roads, and visible wires), and health outcomes, including obesity, diabetes, cardiovascular disease, and premature mortality, at the state level. We utilized 31,247,167 images collected from Google Street View to create indicators for neighborhood built environment characteristics using deep learning techniques. Adjusted linear regression models were used to estimate the associations between aggregated built environment indicators and state-level health outcomes. Our results indicated that the presence of a crosswalk was associated with reductions in obesity and premature mortality. Visible wires were associated with increased obesity, decreased physical activity, and increases in premature mortality, diabetes mortality, and cardiovascular mortality (however, these results were not significant). Non-single family homes were associated with decreased diabetes and premature mortality, as well as increased physical activity and park and recreational access. Single-lane roads were associated with increased obesity and decreased park access. The findings of our study demonstrated that built environment features may be associated with a variety of adverse health outcomes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277659PMC
http://dx.doi.org/10.3390/ijerph17103659DOI Listing

Publication Analysis

Top Keywords

built environment
24
physical activity
16
health outcomes
16
premature mortality
16
environment indicators
12
google street
8
street view
8
obesity physical
8
environment characteristics
8
neighborhood built
8

Similar Publications

Antibody production is central to protection against new pathogens and cancers, as well as to certain forms of autoimmunity. Antibodies often originate in the lymph node (LN), specifically at the extrafollicular border of B cell follicles, where T and B lymphocytes physically interact to drive B cell maturation into antibody-secreting plasmablasts. In vitro models of this process are sorely needed to predict aspects of the human immune response.

View Article and Find Full Text PDF

Introduction: The transition to electric vehicles (EVs) has highlighted the need for efficient diagnostic methods to assess the state of health (SoH) of lithium-ion batteries (LIBs) at the end of their life cycle. Electrochemical Impedance Spectroscopy (EIS) offers a non-invasive technique for determining battery degradation. However, automating this process in industrial settings remains a challenge.

View Article and Find Full Text PDF

Prediction of induction motor faults using machine learning.

Heliyon

January 2025

Electrical and Information Engineering Department, Covenant University, P.M.B 1023, Ota, 112212, Ogun State, Nigeria.

Unplanned downtime in industrial sectors presents significant challenges, impacting both production efficiency and profitability. To tackle this issue, companies are actively working towards optimizing their operations and reducing disruptions that hinder their ability to meet customer demands and financial goals. Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis.

View Article and Find Full Text PDF

The demand for engineered composites particularly fiberglass reinforced polymers (FRP) is gaining momentum. The manufacturing of virgin input-resins for these composites involves the use of certain materials which poses serious environmental implication. This study has exclusively applied and investigated the Grey Forecasting model for management of FRP waste in developing countries to minimize the virgin inputs and likely environmental impacts.

View Article and Find Full Text PDF

Urban waterfront-built environments in cold regions are more conducive to public health than green spaces alone. However, their failure to meet health intervention expectations calls for further research to explore potential intervention pathways and mechanisms. This study conducted an in-depth investigation of Shenyang, a city in China's cold region.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!